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Head-to-head comparison

Nemotron 3.5 Lightning vs GPT-4o (2024-08-06)

Nemotron 3.5 Lightning (NVIDIA) and GPT-4o (2024-08-06) (OpenAI) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 15 September 2026

As of 15 September 2026, GPT-4o (2024-08-06) holds the stronger ModelCap Index position (#149 vs #150); Nemotron 3.5 Lightning is 50× cheaper per output token ($0.20/1M vs $10.00/1M); and Nemotron 3.5 Lightning offers the longer context window (262K vs 128K tokens).

Which should you choose?

Choose Nemotron 3.5 Lightning if…

  • API cost matters — $0.20/1M output tokens against $10.00/1M, about 50× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.08/1M against $2.50/1M.
  • you need the longer context window — 262K tokens against 128K.
  • you want provider choice — 4 listed API providers against 2.
  • AA Humanity's Last Exam is your yardstick — 10.6% against 2.3%.
  • you want the more recently listed model — Nemotron 3.5 Lightning was listed 11 August 2026, GPT-4o (2024-08-06) 6 August 2024.

Choose GPT-4o (2024-08-06) if…

  • you want the stronger overall ModelCap Index position — #149 against #150 (30.2 vs 30.2 points).

Nemotron 3.5 Lightning vs GPT-4o (2024-08-06): specs, pricing and context

Specification comparison of Nemotron 3.5 Lightning and GPT-4o (2024-08-06)
FieldNemotron 3.5 LightningNVIDIAGPT-4o (2024-08-06)OpenAI
ModelCap Index position#150#149
Index score30.230.2
EvidenceEstimatedMeasured
Input price / 1M tokens$0.08$2.50
Output price / 1M tokens$0.20$10.00
Context window262K tokens128K tokens
Max output tokens131K16K
API providers listed42
Weight accessRestricted licenseAPI only
Input modalitiesTextText, Image, File
First listed11 August 20266 August 2024
PublisherNVIDIAOpenAI

Evidence: publisher-corpus-prior over 176 held-out anchors (25%); launch card against 3 resolved peers on 11 rows (75%); optimism haircut 2.8 from cross-lab-probe; shrunk 1.2 up toward the measured corpus · 2 public benchmark observations across 2 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Nemotron 3.5 Lightning vs GPT-4o (2024-08-06)

Public benchmark boards where Nemotron 3.5 Lightning or GPT-4o (2024-08-06) has a published result
BoardNemotron 3.5 LightningGPT-4o (2024-08-06)Leads
Arena codingArena (LMArena)—13601352–1368Only one result
AA Intelligence IndexArtificial Analysis13.6intelligence-index:v4.3:reasoning-unspecified—Only one result
AA Terminal-Bench 2.1Artificial Analysis24.3%terminal-bench:2.1:terminus-2:e2b:pass-at-1:3-repeats:source-model="Nemotron 3.5 Lightning":reasoning=true—Only one result
AA τ²-Bench TelecomArtificial Analysis—28.9%tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="GPT-4o (Aug '24)":reasoning=falseOnly one result
AA Humanity's Last ExamArtificial Analysis10.6%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Nemotron 3.5 Lightning":reasoning=true2.3%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="GPT-4o (Aug '24)":reasoning=falseNemotron 3.5 Lightning

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

Nemotron 3.5 Lightning vs GPT-4o (2024-08-06): common questions

Is Nemotron 3.5 Lightning better than GPT-4o (2024-08-06)?

GPT-4o (2024-08-06) ranks higher on the ModelCap Index as of 15 September 2026: #149 against #150. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.

Is Nemotron 3.5 Lightning cheaper than GPT-4o (2024-08-06)?

Nemotron 3.5 Lightning is cheaper on output tokens: $0.20/1M against $10.00/1M. Input tokens are $0.08/1M for Nemotron 3.5 Lightning and $2.50/1M for GPT-4o (2024-08-06). Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.26 for Nemotron 3.5 Lightning versus $10.00 for GPT-4o (2024-08-06). Nemotron 3.5 Lightning costs 97.4% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.

Which has the bigger context window, Nemotron 3.5 Lightning or GPT-4o (2024-08-06)?

Nemotron 3.5 Lightning has the larger context window: 262K tokens against 128K.

Which is better for coding, Nemotron 3.5 Lightning or GPT-4o (2024-08-06)?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are Nemotron 3.5 Lightning and GPT-4o (2024-08-06) open-weight models?

Nemotron 3.5 Lightning: Restricted license. GPT-4o (2024-08-06): API only. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run Nemotron 3.5 Lightning and GPT-4o (2024-08-06)?

ModelCap currently lists 4 API providers for Nemotron 3.5 Lightning and 2 for GPT-4o (2024-08-06), from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Nemotron 3.5 Lightning vs GPT-4o (2024-08-06) comparison?

Every figure comes from the sealed ModelCap dataset published 15 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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